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PPSN
2000
Springer
14 years 8 days ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
13 years 9 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
14 years 3 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke
CASES
2006
ACM
14 years 2 months ago
Scalable subgraph mapping for acyclic computation accelerators
Computer architects are constantly faced with the need to improve performance and increase the efficiency of computation in their designs. To this end, it is increasingly common ...
Nathan Clark, Amir Hormati, Scott A. Mahlke, Sami ...
ATAL
2005
Springer
14 years 2 months ago
Coordinating multiple rovers with interdependent science objectives
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...
Tara A. Estlin, Daniel M. Gaines, Forest Fisher, R...